Comparative Studies of Gesture-Based and Sensor-Based Input Methods for Mobile User Interfaces

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dc.contributor.advisorMacKenzie, I. Scott
dc.contributor.authorGarg, Saurabh
dc.date.accessioned2021-11-15T15:18:32Z
dc.date.available2021-11-15T15:18:32Z
dc.date.copyright2021-05
dc.date.issued2021-11-15
dc.date.updated2021-11-15T15:18:32Z
dc.degree.disciplineComputer Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractThree user studies were conducted to compare gesture-based and sensor-based interaction methods. The first study compared the efficiency and speed of three scroll navigation methods for touch-screen mobile devices: Tap Scroll (touch-based), Kinetic Scroll (gesture-based), and Fingerprint Scroll (our newly introduced sensor-based method). The second study compared the accuracy and speed of three zoom methods. One method was GyroZoom which uses the mobile phone's gyroscope sensor. The second one is Pinch-to-Zoom (Gesture-based) method. VolumeZoom, the third method, uses volume buttons that were reprogrammed to perform zoom operations. The third study on text entry compared a QWERTY-based onscreen keyboard with a novel 3D gesture-based Write-in-Air method. This method utilizes webcam sensors. Our key findings from the three experiments are that sensor-based interaction methods are intuitive and provide a better user experience than gesture-based interaction methods. The sensor-based methods were on par with the speed and accuracy of the gesture-based methods.
dc.identifier.urihttp://hdl.handle.net/10315/38661
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer science
dc.subject.keywordsHCI
dc.subject.keywordsInteraction
dc.subject.keywordsMobile user interfaces
dc.subject.keywordsZoom interaction
dc.subject.keywordsScroll navigation
dc.subject.keywordsText entry
dc.subject.keywordsTouchless
dc.subject.keywordsSensor-based
dc.subject.keywordsGesture
dc.titleComparative Studies of Gesture-Based and Sensor-Based Input Methods for Mobile User Interfaces
dc.typeElectronic Thesis or Dissertation

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